Underwater acoustic communication adaptive modulation coding algorithm based on reinforcement learning
An adaptive modulation and reinforcement learning technology, applied in the field of communication systems, can solve the problem that the underwater acoustic channel is difficult to meet the frame error rate requirements, and achieve the effect of solving certain errors
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[0036] 1. In this implementation, the Q-learning algorithm is combined with the adaptive modulation and coding system. First, the three elements of the Q table are defined: state, action, and reward. The signal-to-noise ratio of different sizes in underwater acoustic communication is used as the state state. The modulation method and coding rate selected by the signal-to-noise ratio are used as the action, the throughput obtained by different modulation methods and coding rates is used as the reward, and the Q table is established and initialized.
[0037] 2. In the present invention, the state needs to be discretized first. In the underwater acoustic communication, 0.5dB is used as an interval, and all state spaces are selected between 0-40dB.
[0038] 3. Four modulation modes are selected for the action in the present invention, which are respectively BPSK, QPSK, 16QAM and 32QAM modulation modes. Two error correction coding methods are selected, namely convolutional code and...
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